Update DomainSets requirement from 0.3, 0.4, 0.5, 0.6, 0.7 to 0.3, 0.4, 0.5, 0.6, 0.7, 0.8

.github/workflows/docs.yml

@@ -23,7 +23,7 @@ jobs:
     runs-on: ${{ matrix.os }}
     strategy:
       matrix:
-        julia-version: [1]
+        julia-version: [1.12]
         os: [ubuntu-latest]
     steps:
       - uses: actions/checkout@v6

Project.toml

@@ -1,6 +1,6 @@
 name = "ApproxFun"
 uuid = "28f2ccd6-bb30-5033-b560-165f7b14dc2f"
-version = "0.13.28"
+version = "0.13.29"
 
 [deps]
 AbstractFFTs = "621f4979-c628-5d54-868e-fcf4e3e8185c"
@@ -26,7 +26,7 @@ ApproxFunDualNumbersExt = "DualNumbers"
 
 [compat]
 AbstractFFTs = "1.0"
-ApproxFunBase = "0.8.67, 0.9.28"
+ApproxFunBase = "0.9.35"
 ApproxFunFourier = "0.3"
 ApproxFunOrthogonalPolynomials = "0.5, 0.6"
 ApproxFunSingularities = "0.3.10"
@@ -35,7 +35,7 @@ BandedMatrices = "0.16, 0.17, 1"
 BlockBandedMatrices = "0.11, 0.12, 0.13"
 Calculus = "0.5"
 Documenter = "0.27, 1"
-DomainSets = "0.3, 0.4, 0.5, 0.6, 0.7"
+DomainSets = "0.3, 0.4, 0.5, 0.6, 0.7, 0.8"
 DualNumbers = "0.6.2"
 FFTW = "1"
 FastTransforms = "0.13, 0.14, 0.15, 0.16, 0.17"

docs/Project.toml

@@ -1,5 +1,6 @@
 [deps]
 ApproxFun = "28f2ccd6-bb30-5033-b560-165f7b14dc2f"
+ApproxFunBase = "fbd15aa5-315a-5a7d-a8a4-24992e37be05"
 BandedMatrices = "aae01518-5342-5314-be14-df237901396f"
 Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
 DomainSets = "5b8099bc-c8ec-5219-889f-1d9e522a28bf"
@@ -12,10 +13,11 @@ SpecialFunctions = "276daf66-3868-5448-9aa4-cd146d93841b"
 ApproxFun = {path = ".."}
 
 [compat]
+ApproxFunBase = "0.9.35"
 BandedMatrices = "0.17, 1"
 Documenter = "1"
-DomainSets = "0.6, 0.7"
+DomainSets = "0.6, 0.7, 0.8"
 Literate = "2"
 Plots = "1"
 SpecialFunctions = "2"
-julia = "1.6"
+julia = "1.10"

docs/make.jl

@@ -1,6 +1,6 @@
 using Documenter
 using Literate
-using ApproxFun, DomainSets, LinearAlgebra, BandedMatrices # these packages are needed for the docs library
+using ApproxFun, DomainSets, LinearAlgebra, BandedMatrices, ApproxFunBase # these packages are needed for the docs library
 
 # Generate examples using Literate
 # See https://github.com/fredrikekre/Literate.jl/blob/master/docs/make.jl

examples/PDE_Heat.jl

@@ -9,13 +9,14 @@
 # ``u(x,0) = u_0(x)``, where we choose ``u_0(x)`` to be a sharp Gaussian.
 
 using ApproxFun
+using ApproxFunBase: cartesianproduct
 using LinearAlgebra
 
 dx = -1..1;
 dt = 0..1;
 
 # We construct a 2D domain that is the tensor product of x and t
-d = dx × dt;
+d = cartesianproduct(dx, dt);
 
 # The initial condition
 u0 = Fun(x->exp(-x^2/(2*0.2^2)), dx);

test/BugInMultiplicationTest.jl

@@ -1,9 +1,10 @@
 using Test
 using ApproxFun
 using ApproxFunBase
+using ApproxFunBase: cartesianproduct
 
 @testset "Bug in Multiplication" begin
-    dom = Interval(0.001, 1) × PeriodicSegment(-pi, pi)
+    dom = cartesianproduct(Interval(0.001, 1), PeriodicSegment(-pi, pi))
     @test blocklengths(Space(dom)) == 2:2:∞
     r,r2 = Fun((r,t) -> [r;r^2], dom)
     @test r(0.1,0.2) ≈ 0.1

test/LaplaceInAStripTest.jl

@@ -1,8 +1,9 @@
 using Test
 using ApproxFun
+using ApproxFunBase: cartesianproduct
 
 @testset "Laplace in a strip" begin
-    d = PeriodicSegment() × ChebyshevInterval()
+    d = cartesianproduct(PeriodicSegment(), ChebyshevInterval())
     g=Fun((x,y)->real(cos(x+im*y)),∂(d))
     @test g(0.1,1.0) ≈ real(cos(0.1+im))
     @test g(0.1,-1.0) ≈ real(cos(0.1-im))

test/PeriodicXIntervalTest.jl

@@ -3,11 +3,12 @@ using ApproxFun
 using Random
 using LinearAlgebra
 using ApproxFunBase
+using ApproxFunBase: cartesianproduct
 
 @testset "periodic x interval" begin
     dθ=PeriodicSegment(-2.,2.)
     dt=Interval(0,1.)
-    d=dθ×dt
+    d=cartesianproduct(dθ, dt)
     Dθ=Derivative(d,[1,0])
     Dt=Derivative(d,[0,1])
     u0=Fun(θ->exp(-20θ^2), dθ)
@@ -19,7 +20,7 @@ using ApproxFunBase
     u=\([I⊗ldirichlet(dt); Dt+Dθ], [u0; 0.0]; tolerance=1E-6)
     @test ≈(u(0.2,0.1),u0(0.1);atol=1E-6)
 
-    d=PeriodicSegment() × ChebyshevInterval()
+    d=cartesianproduct(PeriodicSegment(), ChebyshevInterval())
     u_ex=Fun((x,y)->real(cos(x+im*y)),d)
     @test u_ex(1.0,0.1) ≈ real(cos(1.0+im*0.1)) atol=10eps()
     B=Dirichlet(Space(d))